A Two-Antenna Single RF Front-End DOA Estimation System for Wireless Communications Signals

2014 ◽  
Vol 62 (10) ◽  
pp. 5321-5333 ◽  
Author(s):  
Ali Gorcin ◽  
Huseyin Arslan
Keyword(s):  
Wireless Communications ◽  
Doa Estimation ◽  
Front End ◽  
Rf Front End ◽  
Estimation System

scholarly journals Device Technologies for RF Front-End Circuits in Next-Generation Wireless Communications

2004 ◽  
Vol 92 (2) ◽  
pp. 354-375 ◽  
Author(s):  
M. Feng ◽  
S.-C. Shen ◽  
D.C. Caruth ◽  
J.-J. Huang
Keyword(s):  
Wireless Communications ◽  
Next Generation ◽  
Front End ◽  
Rf Front End ◽  
Front End Circuits

scholarly journals Optimum power transfer in RF front end systems using adaptive impedance matching technique

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mohammad Alibakhshikenari ◽  
Bal S. Virdee ◽  
Leyre Azpilicueta ◽  
Chan H. See ◽  
Raed Abd-Alhameed ◽  
...  
Keyword(s):  
Impedance Matching ◽  
Adaptive Antenna ◽  
Power Transfer ◽  
Control Loops ◽  
Matching Networks ◽  
Front End ◽  
Rf Front End ◽  
Matching Technique ◽  
Digital Circuitry ◽  
Communications System

AbstractMatching the antenna’s impedance to the RF-front-end of a wireless communications system is challenging as the impedance varies with its surround environment. Autonomously matching the antenna to the RF-front-end is therefore essential to optimize power transfer and thereby maintain the antenna’s radiation efficiency. This paper presents a theoretical technique for automatically tuning an LC impedance matching network that compensates antenna mismatch presented to the RF-front-end. The proposed technique converges to a matching point without the need of complex mathematical modelling of the system comprising of non-linear control elements. Digital circuitry is used to implement the required matching circuit. Reliable convergence is achieved within the tuning range of the LC-network using control-loops that can independently control the LC impedance. An algorithm based on the proposed technique was used to verify its effectiveness with various antenna loads. Mismatch error of the technique is less than 0.2%. The technique enables speedy convergence (< 5 µs) and is highly accurate for autonomous adaptive antenna matching networks.

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